Streaming Big Data (Spark & Kafka)

Lucian Neghina
Streaming Big Data (Spark & Kafka)

Acest curs este predat în limba română, iar materialele sunt în limba engleză şi/sau în limba română, după caz.

La cerere, cursul poate fi personalizat.

Using Apache Spark with a focus on Spark Streaming and its integration with Apache Kafka.
Versions: Spark 2.1 , Kafka 0.10
Prerequisites: Java, IDE (Eclipse, IDEA), Docker
Useful: Scala

Caracteristici curs

  • Capitole 14
  • Durata 3 zile
  • Nivel de cunostinte Orice nivel
  • Limba Romana
  • Studenti 12
  • Ziua 1

    • Capitol 1.1 Spark and Kafka in the Big-Data Context Locked 0m
    • Capitol 1.2 Introduction to Apache Spark Locked 0m
    • Capitol 1.3 Interacting with Spark Locked 0m
    • Capitol 1.4 Programming with RDDs Locked 0m
    • Capitol 1.5 Working with Key-Value Pairs Locked 0m
    • Capitol 1.6 Simple Applications using Spark Locked 0m
  • Ziua 2

    • Capitol 2.1 Introduction to Spark SQL, DataFrames/Datasets Locked 0m
    • Capitol 2.2 Introduction to Apache Kafka Locked 0m
    • Capitol 2.3 Kafka Concepts Locked 0m
    • Capitol 2.4 Kafka Tools Locked 0m
    • Capitol 2.5 Kafka for Java developers (or using Spring Framework) Locked 0m
  • Ziua 3

    • Capitol 3.1 Spark Streaming Locked 0m
    • Capitol 3.2 Structured Streaming (in Spark 2.1) Locked 0m
    • Capitol 3.3 Spark Streaming using Apache Kafka Locked 0m
Lucian Neghina
Big Data Architect